Implementation of a patient-centered mobile shared decision making platform and healthcare workers’ evaluation: a case in a medical center

Tsai, Chang-Chih; Lin, Hung‐Jung; Lin, Tsung-Yi; Kuo, Kuang-Ming; Lin, Jing-Jia; Chen, Chia‐Jung; Lee, Mei-Chuan

doi:10.1080/17538157.2022.2054344

Cited by 5 publications

(5 citation statements)

References 26 publications

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“…These reasons probably explain why anxiety level improved and yet satisfaction remained the same in the current study. Nevertheless, Tsai et al 25 investigated implementation of a patient-centered mobile SDM platform and healthcare workers' evaluation and found that mobile SDM offers patients and their families an easy way to address their concern to healthcare professionals and improves their relationship with each other meaningfully. Use of survey questionnaires with an electronic format facilitates more efficient and reliable data collection 15 .…”

Section: Discussionmentioning

confidence: 99%

A retrospective study of differences in patients’ anxiety and satisfaction between paper-based and computer-based tools for “Shared Decision-Making”

Chen

Tsai

Liu

2023

Sci Rep

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We aimed to investigate differences in patients’ anxiety and satisfaction between patients undergoing paper-based patient decision aid (PDA) for shared decision-making (SDM) and those receiving computer-based PDA. We retrospectively collected questionnaires before and after SDM. Basic demographic data as well as anxiety, satisfaction, knowledge acquisition, and participation in SDM were recorded. We divided our population into subgroups according to use of paper-based or computer-based PDA. In addition, Pearson correlation analysis was applied to assess the relationships among variables. In total, 304 patients who visited our Division of Nephrology were included in the final analysis. Overall, over half of the patients felt anxiety (n = 217, 71.4%). Near half of the patients felt a reduction in anxiety after SDM (n = 143, 47.0%) and 281 patients (92.4%) were satisfied with the whole process of SDM. When we divided all the patients based on use of paper-based or computer-based PDA, the reduction of anxiety level was greater in the patients who underwent paper-based PDA when compared with that of those who underwent computer-based PDA. However, there was no significant difference in satisfaction between the two groups. Paper-based PDA was as effective as computer-based PDA. Further studies comparing different types of PDA are warranted to fill the knowledge gaps in the literature.

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Section: Discussionmentioning

confidence: 99%

A retrospective study of differences in patients’ anxiety and satisfaction between paper-based and computer-based tools for “Shared Decision-Making”

Chen

Tsai

Liu

2023

Sci Rep

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show abstract

“…These reasons probably explain why anxiety level improved and yet satisfaction remained the same in the current study. Nevertheless, Tsai et al investigated implementation of a patient-centered mobile SDM platform and healthcare workers' evaluation and found that mobile SDM offers patients and their families an easy way to address their concern to healthcare professionals and improves their relationship with each other meaningfully 21 . Use of survey questionnaires with an electronic format facilitates more e cient and reliable data collection 13 .…”

Section: Discussionmentioning

confidence: 99%

Differences in patients’ perception and satisfaction between paper-based and computer- based “Shared Decision-Making” consultation – an experience from a medical center in central Taiwan

Chen

Tsai

Liu

2022

Preprint

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We aimed to investigate the difference in patient’s perception and satisfaction between patients undergoing paper-based Shared decision-making (SDM) and those receiving computer-based. We retrospectively collected questionnaires before and after SDM. Basic demographic data as well as anxiety, satisfaction, knowledge acquisition, and participation in SDM were recorded. We divided our population into subgroups according to paper-based or computer-based SDM. In addition, Pearson correlation analysis was applied to assess the relationships among variables. n total, 304 patients who visited our Division of Nephrology were included in the final analysis. Overall, over half of the patients felt anxiety (n = 217, 71.4%). The proportion of patients felt a reduction in anxiety after SDM (n = 143, 47.0%) and 281 patients (92.4%) were satisfied with the whole process of SDM. When we divided all of the patients based on paper-based or computer-based SDM, the reduction of anxiety level was greater in the patients who underwent paper-based SDM when compared with that of those who underwent computer-based SDM. However, there was no significant difference in satisfaction with SDM between the two groups. Paper-based SDM was as effective as computer-based SDM. Further studies from non-Western countries are warranted to gain a more complete understanding of cultural issues related to SDM.

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“…The data available in health care are considered sensitive and highly personal. The way AI presents information to a clinician in an interaction has the potential to impact behaviors, including how decision-making is made [ 9 - 11 ]. Understanding human acceptance and the potential impact of a clinical encounter with the introduction of AI is a key milestone in enabling the industry to effectively predict the potential successes and barriers to AI-enabled products and services.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Potentially Increasing Adoption of an Artificial Intelligence–Enabled Electronic Medical Record Encounter in Canadian Primary Care: Protocol for a User-Centered Design

Francisco,

Burns

2024

JMIR Res Protoc

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Background Primary care physicians are at the forefront of the clinical process that can lead to diagnosis, referral, and treatment. With electronic medical records (EMRs) being introduced and, over time, gaining acceptance by primary care users, they have now become a standard part of care. EMRs have the potential to be further optimized with the introduction of artificial intelligence (AI). There has yet to be a widespread exploration of the use of AI in primary health care and how clinicians envision AI use to encourage further uptake. Objective The primary objective of this research is to understand if the user-centered design approach, rooted in contextual design, can lead to an increased likelihood of adoption of an AI-enabled encounter module embedded in a primary care EMR. In this study, we use human factor models and the technology acceptance model to understand the results. Methods To accomplish this, a partnership has been established with an industry partner, TELUS Health, to use their EMR, the collaborative health record. The overall intention is to understand how to improve the user experience by using user-centered design to inform how AI should be embedded in an EMR encounter. Given this intention, a user-centered approach will be used to accomplish it. The approach of user-centered design requires qualitative interviewing to gain a clear understanding of users’ approaches, intentions, and other key insights to inform the design process. A total of 5 phases have been designed for this study. Results As of March 2024, a total of 14 primary care clinician participants have been recruited and interviewed. First-cycle coding of all qualitative data results is being conducted to inform redesign considerations. Conclusions Some limitations need to be acknowledged related to the approach of this study. There is a lack of market maturity of AI-enabled EMR encounters in primary care, requiring research to take place through scenario-based interviews. However, this participant group will still help inform design considerations for this tool. This study is targeted for completion in the late fall of 2024. International Registered Report Identifier (IRRID) DERR1-10.2196/54365

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Implementation of a patient-centered mobile shared decision making platform and healthcare workers’ evaluation: a case in a medical center

Cited by 5 publications

References 26 publications

A retrospective study of differences in patients’ anxiety and satisfaction between paper-based and computer-based tools for “Shared Decision-Making”

A retrospective study of differences in patients’ anxiety and satisfaction between paper-based and computer-based tools for “Shared Decision-Making”

Differences in patients’ perception and satisfaction between paper-based and computer- based “Shared Decision-Making” consultation – an experience from a medical center in central Taiwan

An Approach to Potentially Increasing Adoption of an Artificial Intelligence–Enabled Electronic Medical Record Encounter in Canadian Primary Care: Protocol for a User-Centered Design

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